A dual-DSP microprocessor system for real-time digital correlation. - Subramaniam Ganesan (Microprocess. Microsystems, 1991)

Standalone modem design using the Am79C12. - Subramaniam Ganesan; Jeff Hemingway; Robert Haddad (Microprocess. Microsystems, 1991)

An SIMD multiple DSP microprocessor system for image processing. - Paruvachi V. R. Raja; Subramaniam Ganesan (Microprocess. Microsystems, 1991)

An efficient implementation of the Hough transform for detecting vehicle license plates using DSP'S. - Varsha Kamat; Subramaniam Ganesan (IEEE Real Time Technology and Applications Symposium, 1995)

A Robust Hough Transform Technique for Description of Multiple Line Segments in an Image. - Varsha Kamat; Subramaniam Ganesan (ICIP (1), 1998)

Genetic-based fuzzy model for inverse kinematics solution of robotic manipulators. - Ali M. Eydgahi; Subramaniam Ganesan (SMC, 1998)

Complete description of multiple line segments using the Hough transform. - Varsha Kamat-Sadekar; Subramaniam Ganesan (Image Vis. Comput., 1998)

Design of a 17-million gate network processor using a design factory. - Gilles-Eric Descamps; Satish Bagalkotkar; Subramaniam Ganesan; Satish Iyengar; Alain Pirson (DAC, 2003)

The iFlow Design Factory: Evolving Chip Design from an Art to a Process, through Adaptive Resource Management, and Qualified Data Exchange. - Gilles-Eric Descamps; Satish Bagalkotkar; Subramaniam Ganesan; Sridhar Subramaniam; Hem Hingarh (ISQED, 2003)

Mesh simplification using ellipsoidal schema for isotropic quantization of face-normal vectors. - Subramaniam Ganesan; Kenneth Ong (APVIS, 2006)

GRASG - A Framework for "Gridifying" and Running Applications on Service-Oriented Grids. - Quoc-Thuan Ho; Terence Hung; Wei Jie; Hoong-Maeng Chan; Emilda Sindhu; Subramaniam Ganesan; Tianyi Zang; Xiaorong Li (CCGRID, 2006)

Real time implementation of adaptive noise cancellation. - Gaurav Saxena; Subramaniam Ganesan; Manohar Das (EIT, 2008)

Small disaster relief robots with swarm intelligence routing. - Subramaniam Ganesan; Manish Shakya; Aqueel F. Aqueel; Lakshmi M. Nambiar (ACWR, 2011)

Sensory system device for suture-manipulation tension measurement for surgery. - Aqeel F. Aqeel; Subramaniam Ganesan (EIT, 2012)

Server based control flocking for aerial-systems. - Sami Oweis; Subramaniam Ganesan; Ka C. Cheok (EIT, 2014)

A large-size image watermarking algorithm based on pseudo-random. - Shumei Wang; Subramaniam Ganesan (EIT, 2014)

Applications of Intelligent Agents in Mobile Commerce: A Review. - Suresh Sankaranarayanan; Subramaniam Ganesan (Int. J. Agent Technol. Syst., 2014)

Illustration of Centralized Command and Control for Flocking Behavior. - Sami Oweis; Subramaniam Ganesan; Ka C. Cheok (Int. J. Handheld Comput. Res., 2014)

Segmenting music library for generation of playlist using machine learning. - Tushar Singh Bohra; Vishal Kumar; Subramaniam Ganesan (EIT, 2015)

Improved Automatic License Plate Recognition (ALPR) system based on single pass Connected Component Labeling (CCL)and reign property function. - Rohollah Mazrae Khoshki; Subramaniam Ganesan (EIT, 2015)

MEMS accelerometer based low-cost collision impact analyzer. - Mohammad Shams Arman Rupok; Hare K. Patnaik; Xuewen Ding; Subramaniam Ganesan (EIT, 2016)

Effect of fault in single load distribution with FIFO(first in, first out) back propagation of results. - Swathi Vadde; Subramaniam Ganesan (EIT, 2016)

Applications of Intelligent Agents in Health Sector-A Review. - Suresh Sankaranarayanan; Subramaniam Ganesan (Int. J. E Health Medical Commun., 2016)

Location-Based Mobile Marketing Innovations. - Jaegeol Yim; Subramaniam Ganesan; Byeong Ho Kang 001 (Mob. Inf. Syst., 2017)

Driver Drowsiness Detection System Based on Binary Eyes Image Data. - Maninder Kahlon; Subramaniam Ganesan (EIT, 2018)

A Novel Phase Tracking in ZigBee Receiver Using Extended Kalman Filtering over AWGN Channel. - Ali Alqahtani 003; Mohamed A. Zohdy; Subramaniam Ganesan; Richard Olawoyin (UEMCON, 2019)

Location-Based Mobile Marketing Innovations 2018. - Jaegeol Yim; Subramaniam Ganesan; Byeong Ho Kang 001 (Mob. Inf. Syst., 2019)

The Comparison between PI and PID Controllers in Engine Speed Control Model. - Saeed Alqahtani; Subramaniam Ganesan; Mohamed A. Zohdy (EIT, 2020)

A Novel Non-Coherent OQPSK Detection Based on Interactive Kalman Filtering with Applications in Zigbee Receiver. - Ali Alqahtani 003; Subramaniam Ganesan; Mohamed A. Zohdy; Richard Olawoyin (EIT, 2020)

Optimal Asynchrophasor In PMU Using Second Order Kalman Filter. - Nayef Alqahtani; Subramaniam Ganesan; Mohamed A. Zohdy; Richard Olawoyin (EIT, 2020)

Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network. - Manimurugan Shanmuganathan; Saad Almutairi; Majed Mohammed Aborokbah; Naveen K. Chilamkurti; Subramaniam Ganesan; Rizwan Patan (IEEE Access, 2020)

Review of advanced computational approaches on multiple sclerosis segmentation and classification. - Manimurugan Shanmuganathan; Saad Almutairi; Majed Mohammed Aborokbah; Subramaniam Ganesan; Varatharajan Ramachandran (IET Signal Process., 2020)

Special issue on "Big Data Analytics and Deep Learning for E-Business Outcomes". - Nagaraj Balakrishnan; Danilo Pelusi; Subramaniam Ganesan (Inf. Syst. E Bus. Manag., 2020)

Fuzzy methodology application for risk analysis of mechanical system in process industry. - Priyank Srivastava; Dinesh Khanduja; Subramaniam Ganesan (Int. J. Syst. Assur. Eng. Manag., 2020)

Securing CAN FD by implementing AES-128, SHA256, and Message Counter based on FPGA. - Farag Mohamed E. Lagnf; Subramaniam Ganesan (EIT, 2021)

Tractor Automated Ground Leveling (AGL) Simulation using Artificial Neural Network. - Tien-Chuong Lim; Ka C. Cheok; Subramaniam Ganesan (EIT, 2021)

Automotive Network Security. - Dingwang Wang; Subramaniam Ganesan (EIT, 2021)

Geometric-Pixel Guided Single-Pass Convolution Neural Network With Graph Cut for Image Dehazing. - Fayadh S. Alenezi; Subramaniam Ganesan (IEEE Access, 2021)

A Special Section on Emerging Challenges and Impacts of Computational Intelligence in Medical Signal Processing Applications. - Danilo Pelusi; B. Nagaraj; Subramaniam Ganesan (J. Medical Imaging Health Informatics, 2021)

The Improved Implementation of the Message freshness on CAN XL using FPGA. - Farag Mohamed E. Lagnf; Subramaniam Ganesan (EIT, 2022)

Two-Stage Classification Model for the Prediction of Heart Disease Using IoMT and Artificial Intelligence. - Manimurugan Shanmuganathan; Saad Almutairi; Majed Mohammed Aborokbah; C. Narmatha; Subramaniam Ganesan; Naveen K. Chilamkurti; Riyadh A. Alzaheb; Hani Almoamari (Sensors, 2022)

Autonomous Vehicle Algorithm Decision-Making Considering Other Road Users. - Ishan Tyagi; Subramaniam Ganesan (AICV, 2023)

An Efficient USE-Net Deep Learning Model for Cancer Detection. - Saad Almutairi; Manimurugan Shanmuganathan; Majed Mohammed Aborokbah; C. Narmatha; Subramaniam Ganesan; P. Karthikeyan 004 (Int. J. Intell. Syst., 2023)

Severity Grading and Early Detection of Alzheimer's Disease through Transfer Learning. - Saeed Alqahtani; Ali Alqahtani 003; Mohamed A. Zohdy; Abdulaziz A. Alsulami; Subramaniam Ganesan (Inf., 2023)

Threshold-Feedforward Neural Network (T-FNN) for Tractor Automated Ground Leveling (AGL). - Tien-Chuong Lim; Ka C. Cheok; Subramaniam Ganesan (EIT, 2024)

HLASwin-T-ACoat-Net Based Underwater Object Detection. - S. Manimurugan; C. Narmatha; Majed Mohammed Aborokbah; Naveen Chilamkurti; Subramaniam Ganesan; Rajendran Thavasimuthu; P. Karthikeyan 004; M. Ammad Uddin (IEEE Access, 2024)

Enhanced modified SecOC protocol for secure automotive networks a comprehensive cryptographic framework. - Amjad Nsour; Subramaniam Ganesan (Discov. Comput., 2025)